Unlocking the Full Potential of Electric Vehicle Fast-Charging over Lifetime through Model-Based Agnig Adaptation - Simulation and Measurement Data
收藏DataCite Commons2024-08-30 更新2025-04-16 收录
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https://mediatum.ub.tum.de/1750435
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资源简介：
This dataset contains the simulation and measurement data obtained using an electrochemical battery model to evaluate the impact of different aging adaptation strategies for model-based fast-charging using anode-potential control. Further information can be obtained from the corresponding publication titled "Unlocking the Full Potential of Electric Vehicle Fast-Charging over Lifetime through Model-Based Aging Adaptation"
Aging Data was derived from the following publication:
[1] Wildfeuer, Leo; Karger, Alexander; Aygül, Deniz; Wassiliadis, Nikolaos; Jossen, Andreas; Lienkamp, Markus (2023): Experimental degradation study of a commercial lithium-ion battery.
In Journal of Power Sources 560, p. 232498. DOI https://doi.org/10.1016/j.jpowsour.2022.232498
提供机构：
Technical University of Munich
创建时间：
2024-08-30
